Cottonseed Oil — Stock Variation in South America
South America: Cottonseed Oil — Stock Variation was 13 1000 t in 2023. ◆ Volatile
Cottonseed Oil — Stock Variation in South America, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for cottonseed oil — stock variation in South America is 13 1000 t, measured in 2023.
The figure is up 154.2% on the previous year and up 125.5% over ten years.
Over the whole period, cottonseed oil — stock variation in South America peaked at 45 1000 t in 2011 and was at its lowest, -51 1000 t, in 2013.
That places South America 6th out of 29 groups with data for 2023, putting it in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Cottonseed Oil — Stock Variation in South America, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | -5 1000 t | — |
| 2011 | 45 1000 t | -1000.0% |
| 2012 | 9 1000 t | -80.0% |
| 2013 | -51 1000 t | -666.7% |
| 2014 | 39 1000 t | -176.5% |
| 2015 | -28 1000 t | -171.8% |
| 2016 | -27 1000 t | -3.6% |
| 2017 | 7 1000 t | -125.9% |
| 2018 | 18 1000 t | +157.1% |
| 2019 | 17 1000 t | -5.6% |
| 2020 | 12 1000 t | -29.4% |
| 2021 | 9 1000 t | -25.0% |
| 2022 | -24 1000 t | -366.7% |
| 2023 | 13 1000 t | -154.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 2.4 1000 t | -51 1000 t | 45 1000 t | 10 |
| 2020s | 2.5 1000 t | -24 1000 t | 13 1000 t | 4 |
Countries ranked near South America
- 3 Uzbekistan 8 1000 t compare
- 4 Saudi Arabia 5 1000 t compare
- 5 Afghanistan 2 1000 t compare
- 5 Cameroon 2 1000 t compare
- 7 Bulgaria 1 1000 t compare
- 7 Ethiopia 1 1000 t compare
- 9 Marshall Islands 0 1000 t
- 9 Qatar 0 1000 t
- 9 Bahrain 0 1000 t
- 9 Cuba 0 1000 t
- 9 Djibouti 0 1000 t
- 9 Saint Kitts and Nevis 0 1000 t
- 9 China, Macao SAR 0 1000 t
- 9 Tajikistan 0 1000 t compare
- 9 Solomon Islands 0 1000 t
- 9 Saint Vincent and the Grenadines 0 1000 t
- 9 Vanuatu 0 1000 t
- 9 Libya 0 1000 t
- 9 Albania 0 1000 t
- 9 Grenada 0 1000 t
- 9 Iceland 0 1000 t
- 9 Montenegro 0 1000 t
- 9 Seychelles 0 1000 t
- 9 Armenia 0 1000 t
- 9 Bahamas 0 1000 t
- 9 Kuwait 0 1000 t
- 9 Sierra Leone 0 1000 t
- 9 French Polynesia 0 1000 t
- 9 Estonia 0 1000 t
- 9 Guyana 0 1000 t
- 9 Georgia 0 1000 t
- 9 Jordan 0 1000 t
- 9 Gambia 0 1000 t
- 9 Kyrgyzstan 0 1000 t compare
- 9 North Macedonia 0 1000 t
- 9 Gabon 0 1000 t
- 9 Azerbaijan 0 1000 t compare
- 9 Bosnia and Herzegovina 0 1000 t
- 9 Lithuania 0 1000 t
- 9 Oman 0 1000 t
- 9 Antigua and Barbuda 0 1000 t
- 9 Barbados 0 1000 t
- 9 Haiti 0 1000 t
- 9 New Caledonia 0 1000 t
- 9 Eswatini 0 1000 t
- 9 Angola 0 1000 t
- 9 Finland 0 1000 t
- 9 Congo 0 1000 t
- 9 Iraq 0 1000 t compare
- 9 Paraguay 0 1000 t compare
- 9 Luxembourg 0 1000 t
- 9 Belarus 0 1000 t
- 9 Tunisia 0 1000 t
- 9 Croatia 0 1000 t
- 9 Papua New Guinea 0 1000 t
- 9 China, Hong Kong SAR 0 1000 t
- 9 Algeria 0 1000 t
- 9 Mauritius 0 1000 t compare
- 9 Ireland 0 1000 t
- 9 Latvia 0 1000 t
- 9 Argentina 0 1000 t compare
- 9 Niger 0 1000 t
- 9 Namibia 0 1000 t
- 9 Chile 0 1000 t
- 9 Israel 0 1000 t compare
- 9 Dominican Republic 0 1000 t
- 9 Jamaica 0 1000 t
- 9 Trinidad and Tobago 0 1000 t
- 9 Belize 0 1000 t
- 9 El Salvador 0 1000 t
- 9 Panama 0 1000 t
- 9 Malta 0 1000 t
- 9 Serbia 0 1000 t
- 9 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 9 Rwanda 0 1000 t
- 9 Uruguay 0 1000 t
- 9 Slovakia 0 1000 t
- 9 Czechia 0 1000 t
- 9 Norway 0 1000 t
- 9 Romania 0 1000 t compare
- 9 Denmark 0 1000 t
- 9 Yemen 0 1000 t
- 9 Nicaragua 0 1000 t
- 9 Fiji 0 1000 t
- 9 Portugal 0 1000 t
- 9 Burkina Faso 0 1000 t compare
- 9 Poland 0 1000 t
- 9 Slovenia 0 1000 t
- 9 Lebanon 0 1000 t
- 9 Malawi 0 1000 t compare
- 9 Zambia 0 1000 t compare
- 9 Ukraine 0 1000 t
- 9 Netherlands (Kingdom of the) 0 1000 t compare
- 9 United Arab Emirates 0 1000 t
- 9 Switzerland 0 1000 t
- 9 Madagascar 0 1000 t
- 9 France 0 1000 t
- 9 Canada 0 1000 t
- 9 Mozambique 0 1000 t compare
- 9 New Zealand 0 1000 t
- 9 Sweden 0 1000 t compare
- 9 Hungary 0 1000 t
- 9 Austria 0 1000 t
- 9 Ghana 0 1000 t compare
- 9 Myanmar 0 1000 t compare
- 9 Australia 0 1000 t compare
- 9 China, Taiwan Province of 0 1000 t compare
- 9 Botswana 0 1000 t
- 9 Honduras 0 1000 t
- 9 Cyprus 0 1000 t
- 9 Italy 0 1000 t
- 9 Zimbabwe 0 1000 t compare
- 9 Morocco 0 1000 t compare
- 9 Cambodia 0 1000 t
- 9 Costa Rica 0 1000 t
- 9 South Africa 0 1000 t compare
- 9 Bangladesh 0 1000 t compare
- 9 Senegal 0 1000 t
- 9 Ecuador 0 1000 t
- 9 Germany 0 1000 t
- 9 Republic of Korea 0 1000 t compare
- 9 Russian Federation 0 1000 t
- 9 Philippines 0 1000 t
- 9 Thailand 0 1000 t
- 9 Peru 0 1000 t compare
- 9 Nigeria 0 1000 t compare
- 9 Sri Lanka 0 1000 t
- 9 Spain 0 1000 t compare
- 9 Uganda 0 1000 t compare
- 9 Indonesia 0 1000 t
- 9 Guatemala 0 1000 t
- 9 Mexico 0 1000 t compare
- 9 Colombia 0 1000 t compare
- 9 Australia and New Zealand 0 1000 t compare
- 9 Nepal 0 1000 t
- 9 Kenya 0 1000 t
More agriculture & rural data for South America
- Cabbages — Area harvested, annual growth rate 1.09 % change on previous year (2024)
- Tomatoes — Production, annual growth rate 3.77 % change on previous year (2024)
- Tomatoes — Yield, annual growth rate 3.46 % change on previous year (2024)
- Tomatoes — Area harvested, annual growth rate 0.3049 % change on previous year (2024)
- Swine / pigs — Stocks, annual growth rate 1.45 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Producing 2.44 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Production, annual 1.98 % change on previous year (2024)
- Meat of pig with the bone, fresh or chilled — Yield/Carcass Weight 0 % change on previous year (2024)
- Fat of pigs — Producing Animals/Slaughtered, annual growth rate 2.44 % change on previous year (2024)
- Cabbages — Yield, annual growth rate -0.4003 % change on previous year (2024)
Frequently asked questions
- What is cottonseed oil — stock variation in South America?
- Cottonseed oil — stock variation in South America was 13 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest cottonseed oil — stock variation recorded in South America?
- The highest recorded value was 45 1000 t in 2011.
- What is the lowest cottonseed oil — stock variation recorded in South America?
- The lowest recorded value was -51 1000 t in 2013.
- How does South America rank for cottonseed oil — stock variation?
- South America ranks 6th out of 29 groups with data for 2023.
- Is cottonseed oil — stock variation rising or falling in South America?
- Over the last ten years it is up 125.5%. The long-run trend across the full record is volatile.
- Where does this South America data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Cottonseed Oil — Stock Variation. Statizoid updates them automatically from the source API.
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About this data
A food balance sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per capita food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.